@inproceedings{be99154d61554a47a531377e0aa4cfb4,
title = "3D Hand Mesh Reconstruction from Monocular Image by using Intermediate Representations",
abstract = "In this paper we propose a complete end-to-end network architecture to estimate 3D hand mesh from RGB hand images. We use ResNet-50 to extract the image features, and for better regression of model parameters later, we obtain some 2D feature maps, such as 2D heatmap and mask images, through some convolutional layers. In the model parameter regression part, we use the fully connected layer for iterative regression of the model parameters.",
author = "Tsai, {Tsung Han} and Jiang, {Jia Yang}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 ; Conference date: 17-07-2023 Through 19-07-2023",
year = "2023",
doi = "10.1109/ICCE-Taiwan58799.2023.10226906",
language = "???core.languages.en_GB???",
series = "2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "565--566",
booktitle = "2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings",
}